Top parallel-processing books mentioned on stackoverflow.com

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.

This practical book includes a tutorial of the entire set of Windows and .NET APIs required to write concurrent programs. Because so much of the threading and synchronization features of the platform are Windows-general, the author, Joe Duffy, focuses first on the general behavior and then on the API details of native and managed code. Interspersed among the tutorial are many difficult-to-discover, useful insights, and internal details about how things work.

Multiprocessor machines, or Multicores, as they are known in the industry, are quickly taking over every aspect of computing. This volume provides a presentation of the guiding principles and algorithmic techniques necessary for effective multiprocessor programming.

Expanding on the highly successful formula of the first edition, this book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms.

With the new C++ Standard and Technical Report 2 (TR2), multi-threading is coming to C++ in a big way. TR2 will provide higher-level synchronization facilities that allow for a much greater level of abstraction, and make programming multi-threaded applications simpler and safer. Concurrent programming is required if programmers are to take advantage of the multi-core microprocessors increasingly available from Intel and others. The new standard for C++ has extensions to the language that make concurrent programming more accessible to regular developers. As a guide and reference to the new concurrency features in the upcoming C++ Standard and TR2, this book is invaluable for existing programmers familiar with writing multi-threaded code in C++ using platform-specific APIs, or in other languages, as well as C++ programmers who have never written multithreaded code before.

The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too. 0321228111B08232004

This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.

This volume gives a high-level overview of parallel architectures, including processor arrays, centralized multi-processors, distributed multi-processors, commercial multi-computers and commodity clusters. A six-chapter tutorial introduces 25 MPI functions by developing parallel programs to solve a series of increasingly difficult problems. Each program is taken from problem description through design and analysis to implementation and benchmarking on an actual commodity cluster, providing the reader with a wealth of examples.

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical Consulting Engineers, to create this authoritative first book on the essentials of programming for this new architecture and these new products. This book is useful even before you ever touch a system with an Intel Xeon Phi coprocessor. To ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi coprocessors, or other high performance microprocessors. Applying these techniques will generally increase your program performance on any system, and better prepare you for Intel Xeon Phi coprocessors and the Intel MIC architecture. A practical guide to the essentials of the Intel Xeon Phi coprocessor Presents best practices for portable, high-performance computing and a familiar and proven threaded, scalar-vector programming model Includes simple but informative code examples that explain the unique aspects of this new highly parallel and high performance computational product Covers wide vectors, many cores, many threads and high bandwidth cache/memory architecture

If you're one of the many developers uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 75 code-rich recipes, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques, using libraries and language features in .NET 4.5 and C# 5.0. Concurrency is becoming more common in responsive and scalable application development, but it’s been extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why the solution works, you get recipes for using: async and await for asynchronous operations Parallel programming with the Task Parallel Library The TPL Dataflow library for creating dataflow pipelines Capabilities that Reactive Extensions build on top of LINQ Unit testing with concurrent code Interop scenarios for combining concurrent approaches Immutable, threadsafe, and producer/consumer collections Cancellation support in your concurrent code Asynchronous-friendly Object-Oriented Programming Thread synchronization for accessing data

Every new version of Java is important, but Java 8 is a game changer. Java 8 in Action is a clearly written guide to the new features of Java 8. It begins with a practical introduction to lambdas, using real-world Java code. Next, it covers the new Streams API and shows how you can use it to make collection-based code radically easier to understand and maintain. It also explains other major Java 8 features including default methods, Optional, CompletableFuture, and the new Date and Time API. This book is written for programmers familiar with Java and basic OO programming. What's Inside How to use Java 8's powerful new featuresWriting effective multicore-ready applicationsRefactoring, testing, and debuggingAdopting functional-style programmingQuizzes and quick-check questions About the Authors Raoul-Gabriel Urma is a software engineer, speaker, trainer, and PhD candidate at the University of Cambridge. Mario Fusco is an engineer at Red Hat and creator of the lambdaj library. Alan Mycroft is a professor at Cambridge and cofounder of the Raspberry Pi Foundation. Table of Contents PART 1 FUNDAMENTALSJava 8: why should you care?Passing code with behavior parameterizationLambda expressionsPART 2 FUNCTIONAL-STYLE DATA PROCESSINGIntroducing streamsWorking with streamsCollecting data with streamsParallel data processing and performancePART 3 EFFECTIVE JAVA 8 PROGRAMMINGRefactoring, testing, and debuggingDefault methods Using Optional as a better alternative to null CompletableFuture: composable asynchronousprogrammingNew Date and Time APIPART 4 BEYOND JAVA 8Thinking functionallyFunctional programming techniquesBlending OOP and FP: comparing Java 8 and Scala Conclusions and where next for JavaAPPENDIXESMiscellaneous language updatesMiscellaneous library updatesPerforming multiple operations in parallelon a streamLambdas and JVM bytecode

This book started out as a revision ofDistributed Operating Systems,but it was soon apparent that so much had changed since 1995, that a mere revision would not do the job. A whole new book was needed. Accordingly, this new book has a new title:Distributed Systems: Principles and Paradigms.This change reflects a shift in emphasis. While we still look at some operating systems issues, the book now addresses distributed systems in a broader sense as well. For example, the World Wide Web, which is arguably the biggest distributed system ever built, was not even mentioned in the original book because it is not an operating system. In this book it rates almost an entire chapter. The book is structured in two parts: principles and paradigms. The first chapter is a general introduction to the subject. Then come seven chapters on individual principles we consider most important: communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security. Actual distributed systems are usually organized around some paradigm, such as "everything is a file." The next four chapters each deal with a different paradigm and describe several key systems that use that paradigm. The paradigms covered are object-based systems, distributed file systems, document-based systems, and coordination-based systems. The last chapter contains an annotated bibliography, which can be used as a starting point for additional study of this subject, and the list of works cited in this book. The book is intended for a senior-level or a graduate course in computer science. Consequently, it has a website with PowerPoint sheets and the figures used in the book in various formats. The website can be located starting fromwww.prenhall.com/tanenbaumand clicking on the title of this book. A manual with solutions to the exercises is available to professors using the book in a course. They should contact their Prentice Hall representative for a copy. Of course, the book is also well-suited for individuals outside of a university setting wishing to learn more about this important topic. A number of people have contributed to this book in various ways. We would especially like to thank Arno Bakker, Gerco Ballintijn, Brent Callaghan, Scott Cannon, Sandra Cornelissen, Mike Dahlin, Mark Derbyshire, Guy Eddory, Amr el Abbadi, Vincent Freely Chandana Gamage, Ben Gras, Bob Gray, Michael van Hartskamp, Philip Homburg, Jeroen Ketema, Andrew Kitchen, Ladislav Kohout, Bob Kutter, Jussipekka Leiwo, Leah McTaggert, Eli Messenger, Donald Miller, Shivakant Mishra, Jim Mooney, Matt Mutka, Rob Pike, Krithi Ramamritham, Shmuel Rotenstreich, Sol Shatz, Gurdip Singly Aditya Shivram, Vladimir Sukonnik, Boleslaw Szymanski, Laurent Therond, and Leendert van Doom for reading parts of the manuscript and offering useful comments. Finally, we would like to thank our families. Suzanne has been through this process an even dozen times now. Not once has she said: "Enough is enough" although surely the thought has occurred to her. Thank you. Barbara and Marvin now have a much better idea of what professors do for a living and know the difference between a good textbook and a bad one. They are now an inspiration to me to try to produce more good ones than bad ones (AST). Marielle knew what she was in for when I told her I was in the book-writing business again. She has been supportive from the start, noticing also that there was more fun and less frustration for me than the last time ("Are you writing chapters only once this time?"). Having Elke on your lap at 6 o'clock in the morning while writing is not such a good idea, but it kept me focused on correctly setting priorities. In that respect, Max did a wonderful job as well, but being older than Elke, he also knew when it was better to play with someone else. They are great kids (MvS).

A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Parallel programming has been revolutionised in .NET 4, providing, for the first time, a standardised and simplified method for creating robust, scalable and reliable multi-threaded applications. The Parallel programming features of .NET 4 allow the programmer to create applications that harness the power of multi-core and multi-processor machines. Simpler to use and more powerful than “classic” .NET threads, parallel programming allows the developer to remain focused on the work an application needs to perform. In Pro .NET 4 Parallel Programming in C#, Adam Freeman presents expert advice that guides you through the process of creating concurrent C# applications from the ground up. You’ll be introduced to .NET’s parallel programming features, both old and new, discover the key functionality that has been introduced in .NET 4, and learn how you can take advantage of the power of multi-core and multi-processor machines with ease. Pro .NET 4 Parallel Programming in C# is a reliable companion that will remain with you as you explore the parallel programming universe, elegantly and comprehensively explaining all aspects of parallel programming, guiding you around potential pitfalls and providing clear-cut solutions to the common problems that you will encounter. What you’ll learn Develop scalable and robust parallel applications in C# Design, test and use parallel algorithms and data structures Understand and implement common parallel design patterns Avoid common anti-patterns and problems Use Visual Studio to verify and debug parallel applications Who this book is for This book is for .NET developers encountering parallel or multi-threaded programming for the first time. No prior knowledge of multi-threaded programming is required, but the reader should be familiar with basic programming in C# using Visual Studio. Table of Contents Introducing Parallel Programming Task Programming Sharing Data Coordinating Tasks Parallel Loops Parallel LINQ Testing and Debugging Common Parallel Algorithms

If you’re a developer with core Java SE skills, this hands-on book takes you through the language changes in Java 8 triggered by the addition of lambda expressions. You’ll learn through code examples, exercises, and fluid explanations how these anonymous functions will help you write simple, clean, library-level code that solves business problems. Lambda expressions are a fairly simple change to Java, and the first part of the book shows you how to use them properly. Later chapters show you how lambda functions help you improve performance with parallelism, write simpler concurrent code, and model your domain more accurately, including building better DSLs. Use exercises in each chapter to help you master lambda expressions in Java 8 quickly Explore streams, advanced collections, and other Java 8 library improvements Leverage multicore CPUs and improve performance with data parallelism Use techniques to “lambdify” your existing codebase or library code Learn practical solutions for lambda expression unit testing and debugging Implement SOLID principles of object-oriented programming with lambdas Write concurrent applications that efficiently perform message passing and non-blocking I/O

Describing the biology, sociology, and technology of the fictional Latoocarfian civilization of Ganymede, one of Jupiter's moons, this book includes a cornucopia of curiosities--games played on fractal boards, instructions on creating globular star clusters using personal computers, and puzzles to stimulate the imagination.

Linking geographically dispersed computer systems can lead to staggering gains in computing power, speed and productivity. Ahmar Abbas provides an overview of the latest developments in the field of 'Grid Computing'. A CD-ROM is included with this volume that contains extra resources and useful software.